Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method for culling search results in electronic discovery, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: identifying at least one data source that is subject to electronic discovery in connection with a lawsuit involving an enterprise, wherein the data source comprises a repository of digital group messages; identifying an additional data source comprising a document including a list of the enterprise's employees; determining that content from the data source with particular metadata derivatives may be more relevant to the lawsuit than content from the data source without the particular metadata derivatives, wherein the particular metadata derivatives comprise a participation score for a user involved in the content and a position of the user within the enterprise; in response to the determination: mining metadata of a plurality of digital group messages within the data source to identify primary metadata for each of the digital group messages, wherein the primary metadata comprises an amount of content, in each of the digital group messages, created by a certain user; generating metadata derivatives of the primary metadata, wherein generating the metadata derivatives comprises: calculating, for each of the digital group messages, a participation score for the certain user that is based on the amount of content in the digital group message created by the certain user; and querying the additional data source to identify the certain user's position within the enterprise; creating an index that groups the digital group messages into a plurality of categories representative of the metadata derivatives, wherein: each category is indicative of a different level of participation and a different position within the enterprise; and each of the digital group messages is grouped into a category based on the certain user's participation score calculated for the digital group message and the certain user's position within the enterprise identified from the additional data source; receiving, from a user involved in the electronic discovery, a search query that specifies a subset of the categories within the index indicative of one or more specified levels of participation and one or more specified positions within the enterprise, and a keyword; and providing, to the user involved in the electronic discovery, a search result that identifies all of the digital group messages whose contents include the keyword and that differentiates the digital group messages, whose contents include the keyword, that belong to one of the specified subset of categories indicative of the one or more specified levels of participation and one of the specified subset of categories indicative of the one or more specified positions within the enterprise.
This invention relates to electronic discovery (e-discovery) in legal proceedings, specifically for culling search results from digital group messages. The problem addressed is the inefficiency of traditional e-discovery methods in identifying relevant content from large volumes of group communications, such as emails or chat logs, where relevance is influenced by user participation and organizational hierarchy. The method involves analyzing digital group messages from a data source, such as a messaging platform, and an additional data source containing employee information. Metadata from the group messages is mined to determine primary metadata, including the amount of content created by specific users. Metadata derivatives are then generated, including a participation score for each user based on their contribution to a message and their position within the enterprise, obtained by querying the employee data source. An index is created to categorize messages into groups based on participation levels and user positions. When a search query is received, it specifies a subset of these categories (e.g., high participation, senior management) and a keyword. The system returns results that include the keyword and differentiates messages based on the specified categories, prioritizing those with higher relevance due to user involvement and organizational role. This approach improves efficiency by filtering results based on contextual metadata, reducing the volume of irrelevant data reviewed during e-discovery.
2. The computer-implemented method of claim 1 , wherein calculating the participation score for each of the digital group messages comprises calculating the participation score based on a number of messages contributed by the certain user to each of the digital group messages.
This invention relates to analyzing user participation in digital group messages, such as those in chat applications or forums. The problem addressed is the need to quantify how actively a user engages in group discussions, which is useful for identifying influential participants, improving collaboration, or detecting inactive users. The method calculates a participation score for each digital group message by determining the number of messages contributed by a specific user to that message thread. This score reflects the user's level of involvement in the discussion. The system may also track other users' contributions to the same message, allowing for comparative analysis. By aggregating these scores, the system can assess overall engagement patterns, identify key contributors, or detect users who may need encouragement to participate more actively. The approach helps organizations or platforms measure and enhance user engagement in collaborative environments. It can be applied in team communication tools, social media groups, or educational forums where participation metrics are valuable for moderation, performance evaluation, or community management. The method ensures objective scoring based on quantifiable message contributions, avoiding subjective assessments.
3. The computer-implemented method of claim 1 , wherein differentiating the digital group messages that belong to one of the specified subset of categories comprises changing at least one of a font, a color, and a contour of the differentiated digital group messages.
This invention relates to digital group messaging systems, specifically addressing the challenge of visually distinguishing messages belonging to specific categories within a group conversation. In digital group messaging environments, users often need to quickly identify and prioritize messages based on their relevance or category, such as announcements, questions, or urgent updates. The invention provides a method to enhance message visibility by applying visual differentiation to messages that fall within predefined subsets of categories. The differentiation is achieved by modifying at least one visual attribute of the messages, such as font style, color, or contour. For example, messages categorized as "urgent" may be displayed in a bold red font, while "announcements" could appear with a distinct border or a different background color. This visual differentiation helps users quickly scan and identify relevant messages without disrupting the overall conversation flow. The method ensures that the visual changes are applied dynamically based on the message category, improving user experience by reducing cognitive load and enhancing message organization. The invention is particularly useful in collaborative workspaces, social media groups, or any digital communication platform where categorization and quick identification of messages are essential.
4. The computer-implemented method of claim 1 , wherein differentiating the digital group messages that belong to one of the specified subset of categories comprises placing the differentiated digital group messages in a separate location from digital group messages whose contents include the keyword but do not belong to one of the specified subset of categories.
This invention relates to a computer-implemented method for categorizing and organizing digital group messages, such as those in chat applications or forums, based on keyword matching and category filtering. The method addresses the problem of efficiently sorting and managing large volumes of messages to improve user experience by reducing irrelevant content. The method involves receiving a set of digital group messages, each containing text content. A keyword is identified within these messages, and the system checks whether the messages containing the keyword belong to a predefined subset of categories. Messages that match both the keyword and the specified categories are separated from those that only match the keyword but do not belong to the specified categories. The differentiated messages are then placed in a distinct location, such as a dedicated folder, thread, or interface section, while the non-matching messages remain in their original location or are filtered out. This approach ensures that users can quickly access relevant messages while minimizing clutter from unrelated content. The method may also include additional steps such as analyzing message metadata, applying natural language processing to refine categorization, or allowing user customization of keywords and categories. The system may operate in real-time or batch processing modes, depending on the application.
5. The computer-implemented method of claim 1 , further comprising: determining that the user has initiated a search of the data source in connection with the lawsuit; in response to determining that the user has initiated the search, presenting the plurality of categories to the user via a user interface; and upon presenting the plurality of categories to the user, receiving the search query that specifies the subset of categories via the user interface.
This invention relates to a computer-implemented method for enhancing legal research by categorizing and filtering data sources relevant to a lawsuit. The method addresses the challenge of efficiently locating pertinent information within large datasets, such as legal documents, case files, or evidence, by organizing the data into predefined categories and allowing users to refine their searches based on these categories. The method involves monitoring user interactions with a data source, such as a legal database or document repository, to detect when a user initiates a search related to a lawsuit. Once a search is detected, the system presents a user interface displaying a plurality of predefined categories that classify the data source. These categories may include document types, legal topics, jurisdictions, or other relevant classifications. The user then inputs a search query that specifies a subset of these categories, enabling the system to filter the data source and retrieve only the information that matches the selected categories. This targeted approach improves search efficiency and accuracy by narrowing down results to the most relevant subset of data. The method ensures that users can quickly access the most pertinent information by dynamically presenting category options based on the context of the lawsuit and refining search results according to the selected categories. This reduces the time and effort required to locate critical legal information.
6. The computer-implemented method of claim 1 , wherein the participation score indicates that the certain user was at least one of: a passive participant; an average participant; and an active participant.
This invention relates to a computer-implemented method for evaluating user participation in an online environment, such as a collaborative platform or social network. The method addresses the challenge of quantifying and categorizing user engagement levels to improve interaction dynamics, content relevance, or system recommendations. The method involves calculating a participation score for a user based on their activity within the system. This score is used to classify the user into one of three distinct participation categories: passive participant, average participant, or active participant. A passive participant is one who engages minimally, such as by viewing content without contributing. An average participant exhibits moderate interaction, such as occasional comments or responses. An active participant demonstrates high engagement, such as frequent contributions, discussions, or content creation. The participation score is derived from measurable metrics like frequency of interactions, duration of engagement, or type of contributions. By categorizing users, the system can tailor responses, recommendations, or notifications to better align with their engagement level, enhancing user experience and platform efficiency. This approach helps identify inactive users who may need encouragement, highly engaged users who may benefit from advanced features, or average users who could be nudged toward greater participation. The method ensures dynamic adaptation to user behavior, improving overall system performance and user satisfaction.
7. The computer-implemented method of claim 1 , wherein: the primary metadata further comprises names of all users who contributed to creating the contents of the digital group messages.
This invention relates to digital group messaging systems and addresses the challenge of tracking and displaying contributor information within group communications. The method involves enhancing primary metadata associated with digital group messages by including the names of all users who contributed to creating the contents of those messages. This metadata can be used to identify and display the contributors to a group message, providing transparency and accountability in collaborative digital environments. The system may also include mechanisms for generating and storing this metadata, as well as retrieving and presenting it to users when viewing group messages. The method ensures that all participants in a group conversation are properly credited for their contributions, which is particularly useful in professional, educational, or team-based settings where tracking individual inputs is important. The metadata may be stored in a structured format, such as a database or file, and can be accessed by the messaging system or other applications to provide contributor information to users. This approach improves collaboration by making it easier to recognize and reference specific contributions within group discussions.
8. The computer-implemented method of claim 7 , wherein: deriving the metadata derivatives further comprises calculating a number of users who contributed to creating the content of the digital group messages based at least in part on the names of the users who contributed to creating the content of the digital group messages.
This invention relates to analyzing digital group messages to derive metadata derivatives, specifically focusing on quantifying user contributions. The method involves processing digital group messages to extract metadata, including identifying the names of users who contributed to the content. From this metadata, the system calculates the number of distinct users who participated in creating the content of the group messages. This calculation is based on analyzing the names of the contributing users, allowing for a quantitative assessment of collaboration within the group. The derived metadata can be used to track participation levels, identify key contributors, or evaluate group dynamics. The method is implemented in a computer system, leveraging automated processing to handle large volumes of message data efficiently. The approach provides insights into group communication patterns, which can be useful for productivity analysis, team management, or social network research. By focusing on user names as a key identifier, the system ensures accurate attribution of contributions, even in dynamic or large-scale group interactions. The derived metrics can be integrated into analytics tools or reporting systems to support decision-making or further analysis.
9. The computer-implemented method of claim 1 , wherein: receiving the search query comprises receiving user input that specifies two or more of the categories within the index.
This invention relates to a computer-implemented method for improving search query processing in a database or information retrieval system. The problem addressed is the inefficiency and lack of precision in traditional search systems when users need to filter results across multiple categories simultaneously. The method enhances search functionality by allowing users to specify two or more categories within an indexed database, enabling more refined and targeted search results. The system first receives a search query from a user, where the query includes input that explicitly defines two or more categories from the indexed database. These categories could represent different attributes, such as product types, document classifications, or any other structured metadata. The method then processes the query by filtering the indexed data based on the specified categories, ensuring that only relevant entries matching all selected categories are returned. This approach improves search accuracy by reducing irrelevant results and streamlining the retrieval process. Additionally, the method may involve dynamically adjusting the search parameters based on user behavior or predefined rules, further optimizing the search experience. The system ensures that the indexed data is structured in a way that allows efficient cross-category filtering, leveraging metadata or tags to categorize entries. This method is particularly useful in large-scale databases where users need to narrow down results across multiple dimensions, such as e-commerce platforms, document management systems, or enterprise search applications. The invention enhances user experience by providing more precise and contextually relevant search outcomes.
10. The computer-implemented method of claim 9 , wherein: providing the search result to the user comprises: identifying a weight that has been assigned to each category within the plurality of categories; assigning a weighted score for each digital group message within the digital group messages whose contents include the keyword by aggregating, for each digital group message whose contents include the keyword, the weights of each category into which the digital group message has been grouped; ordering the digital group messages whose contents include the keyword such that digital group messages with a higher score are placed above digital group messages with a lower score in a list.
This invention relates to a computer-implemented method for improving the relevance of search results in digital group messaging systems. The problem addressed is the difficulty users face in finding specific messages within large, categorized group conversations, where messages are often grouped into multiple categories. The method enhances search results by prioritizing messages based on their relevance to the user's query, considering the categories they belong to. The method involves identifying a keyword from a user's search query and retrieving digital group messages that contain that keyword. Each message may belong to one or more predefined categories, each with an assigned weight indicating its importance or relevance. The system calculates a weighted score for each message by aggregating the weights of all categories the message belongs to. Messages are then ranked in a list, with higher-scored messages appearing above lower-scored ones, ensuring the most relevant results are presented first. This approach improves search efficiency by leveraging category-based weighting to prioritize messages that are more likely to be useful to the user. The method can be applied in various digital communication platforms, such as team collaboration tools or social media groups, where messages are organized into multiple categories.
11. The computer-implemented method of claim 1 , wherein: the at least one data source comprises a first data source and a second data source; generating the metadata derivatives further comprises: determining that a digital group message within a first data source is related to a digital group message within a second data source; and generating, based at least in part on metadata of the digital group message within the first data source, a metadata derivative of the digital group message within the second data source.
This invention relates to digital group messaging systems and addresses the challenge of correlating and analyzing related messages across multiple data sources. The method involves processing digital group messages from at least two distinct data sources to generate metadata derivatives that establish relationships between them. Specifically, the system identifies when a message in one data source is related to a message in another data source, then creates a metadata derivative for the message in the second data source based on the metadata of the message in the first data source. This allows for cross-source analysis, improving message tracking, context understanding, and data integration. The approach enhances the ability to detect and link related conversations or events across different platforms or systems, enabling more comprehensive insights and reducing information silos. The method leverages metadata to establish these connections, ensuring that the relationships are accurately captured and utilized for downstream applications such as analytics, monitoring, or compliance.
12. The computer-implemented method of claim 11 , wherein determining that the digital group message within the first data source is related to the digital group message within the second data source comprises determining that the digital group message within the first data source and the digital group message within the second data source both include a reference to a same user.
This invention relates to digital group messaging systems and addresses the challenge of identifying and correlating related messages across different data sources. The method involves analyzing digital group messages from at least two distinct data sources to determine if they are related. Specifically, the method checks whether both messages reference the same user, indicating a potential connection between them. This approach helps in tracking conversations, detecting cross-platform interactions, or identifying coordinated messaging activities. The system may also involve preprocessing the messages to extract relevant features, such as user mentions or identifiers, before performing the comparison. By establishing relationships between messages based on shared user references, the method enables better message tracking, analysis, and contextual understanding across multiple platforms or databases. This can be useful in applications like social media monitoring, fraud detection, or customer support analytics, where understanding message relationships is critical. The method ensures that messages referencing the same user are flagged as related, improving the accuracy of message correlation in digital communication systems.
13. A system for culling search results in electronic discovery, the system comprising: an identification module, stored in memory, that: identifies at least one data source that is subject to electronic discovery in connection with a lawsuit involving an enterprise, wherein the data source comprises a repository of digital group messages; identifies an additional data source comprising a document including a list of the enterprise's employees; determines that content from the data source with particular metadata derivatives may be more relevant to the lawsuit than content from the data source without the particular metadata derivatives, wherein the particular metadata derivatives comprise a participation score for a user involved in the content and a position of the user within the enterprise; a mining module, stored in memory, that: mines metadata of a plurality of digital group messages within the data source to identify primary metadata for each of the digital group messages, wherein the primary metadata comprises an amount of content, in each of the digital group messages, created by a certain user; generates metadata derivatives of the primary metadata by (1) calculating, for each of the digital group messages, a participation score for the certain user that is based on the amount of content in the digital group message created by the certain user and (2) querying the additional data source to identify the certain user's position within the enterprise; a creation module, stored in memory, that creates an index that groups the digital group messages into a plurality of categories representative of the metadata derivatives, wherein: each category is indicative of a different level of participation and a different position within the enterprise; each of the digital group messages is grouped into a category based on the certain user's participation score calculated for the digital group message and the certain user's position within the enterprise identified from the additional data source; a receiving module, stored in memory, that receives, from a user involved in the electronic discovery, a search query that specifies a subset of the categories within the index, indicative of one or more specified levels of participation, a subset of categories within the index indicative of one or more specified positions within the enterprise, and a keyword; a providing module, stored in memory, that provides, to the user involved in the electronic discovery, a search result that identifies all of the digital group messages whose contents include the keyword and that differentiates the digital group messages, whose contents include the keyword, that belong to one of the specified subset of categories indicative of the one or more specified levels of participation and one of the specified subset of categories indicative of the one or more specified positions within the enterprise; and a physical processor configured to execute the identification module, the mining module, the creation module, the receiving module, and the providing module.
The system improves electronic discovery by culling search results from digital group messages in litigation involving an enterprise. The system identifies relevant data sources, including repositories of digital group messages and employee directories, to determine content relevance based on metadata derivatives. These derivatives include a participation score for users involved in the messages and their positions within the enterprise. The system mines metadata from group messages to calculate participation scores and queries employee directories to determine user positions. It then creates an index categorizing messages by participation levels and enterprise positions. Users can search the index with queries specifying participation levels, positions, and keywords. The system returns results that highlight messages matching the specified criteria, differentiating them by participation and position. This approach enhances efficiency in legal discovery by prioritizing messages from highly involved employees in relevant roles. The system automates metadata analysis and categorization, reducing manual review time and improving relevance in legal evidence collection.
14. The system of claim 13 , wherein calculating the participation score for each of the digital group messages comprises calculating the participation score based on a number of messages contributed by the certain user to each of the digital group messages.
This invention relates to a system for evaluating user participation in digital group messages, addressing the challenge of quantifying engagement in online collaborative environments. The system calculates a participation score for each digital group message by analyzing the number of messages contributed by a specific user to each message thread. This score reflects the user's level of involvement in group discussions, helping to identify active contributors and assess collaboration dynamics. The system may also track message content, timestamps, and other interaction metrics to refine participation scoring. By quantifying engagement, the system enables better monitoring of group collaboration, identifies key participants, and supports decision-making in team-based digital environments. The participation score can be used to rank users, highlight influential contributors, or detect disengagement patterns. The system integrates with existing messaging platforms to provide real-time or historical participation analytics, enhancing transparency and accountability in digital group interactions.
15. The system of claim 13 , wherein calculating the participation score for each of the digital group messages comprises calculating the participation score based on a number of comments posted to each of the digital group messages.
This invention relates to a system for analyzing digital group communication, such as in online forums or social media groups, to assess user participation. The system addresses the challenge of measuring engagement in digital group interactions by quantifying how actively users contribute to discussions. The core system includes a data processing module that collects digital group messages and associated metadata, such as timestamps and user identifiers. It also includes an analysis module that evaluates the content and context of these messages to determine their relevance and impact within the group. A scoring module calculates a participation score for each message, reflecting its contribution to the group's overall activity. The system further includes a visualization module that presents the participation data in a user-friendly format, such as graphs or charts, to help administrators or users understand engagement patterns. In this specific implementation, the participation score is calculated based on the number of comments posted in response to each digital group message, providing a straightforward metric of how much a message sparks discussion. The system may also include additional features, such as filtering messages by relevance or timeframe, to refine the analysis. By tracking and visualizing participation, the system helps identify active contributors, popular topics, and areas where engagement could be improved.
16. The system of claim 13 , wherein: the providing module is configured to differentiate the digital group messages that belong to one of the specified subset of categories by changing at least one of a font, color, and a contour of the differentiated digital group messages.
This invention relates to digital group messaging systems, specifically addressing the challenge of organizing and visually distinguishing messages within large group conversations. The system categorizes messages into predefined subsets and applies visual modifications to enhance readability and user experience. A providing module differentiates messages by altering their font, color, or contour based on their assigned category, making it easier for users to quickly identify and track relevant discussions. The system ensures that messages are grouped and displayed in a structured manner, reducing cognitive load and improving navigation in busy group chats. The visual differentiation helps users prioritize messages, filter content, and maintain context without manual sorting. This approach is particularly useful in professional or collaborative environments where multiple topics are discussed simultaneously. The invention aims to streamline communication by leveraging visual cues to organize information efficiently.
17. The system of claim 13 , wherein the providing module differentiates the digital group messages by placing the differentiated digital group messages in a separate location from digital group messages whose contents include the keyword but do not belong to one of the specified subset of categories.
This invention relates to a system for managing digital group messages, particularly for filtering and organizing messages based on keywords and predefined categories. The system addresses the challenge of efficiently categorizing and retrieving relevant messages in large digital communication platforms, where users may need to filter messages containing specific keywords but only from certain categories to reduce noise and improve relevance. The system includes a processing module that identifies digital group messages containing a specified keyword. A providing module then differentiates these messages by placing them in a separate location from other messages that also contain the keyword but do not belong to a predefined subset of categories. This separation ensures that users can quickly access only the most relevant messages, improving efficiency in message retrieval and reducing the time spent sifting through irrelevant content. The system may also include a receiving module to obtain the keyword and category specifications from a user, and a storage module to maintain the categorized messages for later access. By dynamically filtering messages based on both keyword presence and category membership, the system enhances the user experience in digital communication environments, particularly in platforms where messages are organized into multiple categories or groups. This approach ensures that users receive only the most pertinent information, streamlining communication and improving productivity.
18. A non-transitory computer-readable medium comprising one or more computer-readable instructions that, when executed by at least one processor of a computing device, cause the computing device to: identify at least one data source that is subject to electronic discovery in connection with a lawsuit involving an enterprise, wherein the data source comprises a repository of digital group messages; identify an additional data source comprising a document including a list of the enterprise's employees; determine that content from the data source with particular metadata derivatives may be more relevant to the lawsuit than content from the data source without the particular metadata derivatives, wherein the particular metadata derivatives comprise a participation score for a user involved in the content and a position of the user within the enterprise; mine metadata of a plurality of digital group messages within the data source to identify primary metadata for each of the digital group messages, wherein the primary metadata comprises an amount of content, in each of the digital group messages, created by a certain user; generate metadata derivatives of the primary metadata, wherein generating the metadata derivatives comprises: calculating, for each of the digital group messages, a participation score for the certain user that is based on the amount of content in the digital group message created by the certain user; and querying the additional data source to identify the certain user's position within the enterprise; create an index that groups the digital group messages into a plurality of categories representative of the metadata derivatives, wherein: each category is indicative of a different level of participation and a different position within the enterprise; and each of the digital group messages is grouped into a category based on the certain user's participation score calculated for the digital group message and the certain user's position within the enterprise identified from the additional data source; receive, from a user involved in the electronic discovery, a search query that specifies a subset of the categories within the index, indicative of one or more specified levels of participation, a subset of categories within the index indicative of one or more specified positions within the enterprise, and a keyword; and provide, to the user involved in the electronic discovery, a search result that identifies all of the subset of digital group messages whose contents include the keyword and that differentiates the digital group messages, whose contents include the keyword, that belong to one of the specified subset of categories indicative of the one or more specified levels of participation and one of the specified subset of categories indicative of the one or more specified positions within the enterprise.
This invention relates to electronic discovery (e-discovery) systems for legal proceedings, specifically improving the relevance and efficiency of searching digital group messages in litigation involving enterprises. The system addresses the challenge of identifying and prioritizing relevant communications from large volumes of group messages by analyzing metadata to determine user participation and organizational position. The system identifies a data source containing digital group messages and an additional data source listing the enterprise's employees. It evaluates message metadata to derive participation scores for users based on their contribution volume and queries the employee list to determine their organizational position. These metadata derivatives—participation scores and positions—are used to categorize messages into groups representing different participation levels and roles. A search function allows users to query messages by keyword while filtering results based on specified participation levels and positions, enhancing relevance by prioritizing messages from highly engaged users or specific roles. The system improves e-discovery by automating the extraction of contextual metadata, enabling more targeted searches and reducing manual review time. This approach helps legal teams focus on the most relevant communications during litigation.
19. The non-transitory computer-readable medium of claim 18 , wherein the computer-readable instructions cause the computer to calculate the participation score for each of the digital group messages by causing the computer to calculate the participation score based on a number of messages contributed by the certain user to each of the digital group messages.
This invention relates to digital communication systems, specifically methods for evaluating user participation in group messaging platforms. The problem addressed is the lack of objective metrics to assess how actively a user engages in group discussions, which is valuable for analytics, moderation, or user behavior analysis. The invention involves a computer-implemented system that calculates a participation score for each digital group message based on the number of messages contributed by a specific user to that message thread. The system processes digital group messages, identifies contributions from a certain user, and quantifies their participation by counting their messages within each thread. This score can be used to analyze engagement patterns, identify active or passive participants, or detect potential spam or abuse. The system may also track additional participation factors, such as message length, response time, or interaction with other users, to refine the participation score. The calculated scores can be stored, displayed, or used for further analysis, such as ranking users by activity level or flagging unusual behavior. This approach provides a data-driven way to measure user involvement in group discussions, improving moderation and engagement insights.
20. The non-transitory computer-readable medium of claim 18 , wherein the computer-readable instructions cause the computer to differentiate the digital group messages that belong to one of the specified subset of categories by causing the computer to change at least one of a font, a color, and a contour of the differentiated digital group messages.
This invention relates to digital group messaging systems, specifically addressing the challenge of visually distinguishing messages belonging to specific categories within a group conversation. In group messaging environments, users often need to quickly identify and prioritize messages based on their relevance or topic. The invention provides a solution by enabling a computer system to categorize incoming messages into predefined subsets and then visually differentiate those messages by modifying at least one of their font, color, or contour. For example, messages related to a particular project may be displayed in a distinct color, while urgent messages could use a bold or italicized font. This visual differentiation helps users quickly scan and organize messages without disrupting the natural flow of the conversation. The system processes messages in real-time, applying the specified visual changes dynamically as new messages arrive. The categorization rules can be predefined or user-configurable, allowing flexibility in how messages are grouped and displayed. This approach enhances readability and user experience in group messaging platforms by reducing cognitive load and improving message organization.
Unknown
October 1, 2019
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